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Zendesk

Staff Machine Learning Scientist

  • Hybrid
  • 6+ years

Salary

Not stated

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Description

Join our team at Zendesk QA to develop cutting-edge AI solutions for customer service! We are seeking forward-thinking experts who are looking to build AI-driven features that reshape Customer Experience teams to achieve their best by intelligently solving repetitive work so they can shift their focus to solving more sophisticated problems. Your expertise can help us change the game in how companies manage and improve their customer service operations. You will be embedded in a multi-functional team, closely collaborating with scientists, engineers and product managers. The ideal candidate will have a proven track record of driving innovation and delivering scalable ML solutions that solve real customer's problems in intelligent ways.

Our quickly expanding, international team has embraced the innovative mindset from day one. We are looking to expand our ML team and seeking candidates for a role based in Tallinn, Estonia.

What you’ll be doing:

Design, develop, and implement machine learning models and algorithms to create innovative AI features

Propose and prototype new features that make the most of generative models and solve customer problems in a novel way

Stay up-to-date with the latest advancements in machine learning and AI technologies, and apply best practices to enhance existing systems

Collaborate with ML engineers, engineering and work closely with product and UX teams to make innovation a reality

Solve meaningful and challenging problems with recent ML techniques including information retrieval, prompt engineering and LLMs

Champion initiatives to improve the quality and robustness of Zendesk AI capabilities

Mentor junior colleagues and set a high standard for building ML powered applications at Zendesk

What you bring to the role:

Proficient in programming skills in python and good code hygiene

Solid understanding of statistical analysis, data mining, and predictive modeling techniques

Experience with building features that utilise supervised or unsupervised ML and statistical models. Experience with building features that utilise LLM-s is a plus

Solid track record of building models that are live in production

Great written and verbal communication skills, with experience conveying technical concepts to a diverse, sometimes nontechnical audience

Strong independence and excellent planning and time management skills to ensure dedicated focus time for deep work, minimizing distractions

It's a plus

If you have MSc degree in computer science, mathematics, physics, or a related analytical or technical field, or a PhD

Our Stack

Python

AWS

Pandas, spaCy, TensorFlow, PyTorch, etc.

LLMs - OpenAI, PaLM2, Llama, etc.

PostgreSQL, Aurora, REST, microservices

Datadog

Benefits

  • Autonomy, trust and research freedom to find interesting problems to solve
  • Take charge of the product features you develop—your ideas will have a direct impact!
  • Excellent data engineering infrastructure - research close to production and data availability
  • Ability to play with the newest technologies and support to rally teammates and bring innovative solutions to life
  • A team of dedicated professionals, with a significant portion holding PhDs. We have a collaborative environment built on trust and the open sharing of both challenges and achievements. We believe that having fun is an essential part of our success.
  • Flexible working hours
  • #LI-JJ2
  • The intelligent heart of customer experience
  • Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
  • Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
  • As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
  • Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
  • Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

Where you’d work

Part of the week in the office

About the company

Zendesk

  • Industry: SaaS

Offices in Tallinn, Estonia, Krakow, Poland

Also hiring in Lisbon, Portugal, London, United Kingdom, Berlin, Germany and 4 more places

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 3 red flags

Still hiring?

13 checks

1 red flag

How crowded?

6 checks

2 red flags

Fits Me

How well does this role fit you?

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • PostgreSQL
  • AWS
  • PyTorch
  • LLMs
  • TensorFlow
Seniority
Staff
Type
Full-time
Equity
Equity offered
Industry
SaaS
Specialty
ML
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Staff
Experience
6+ years
Tech stack
  • Python
  • PostgreSQL
  • AWS
  • PyTorch
  • LLMs
  • TensorFlow

Location

Work model
Hybrid
Region
Europe
Offices
  • Tallinn, Estonia
  • Krakow, Poland

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
SaaS

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